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ECONIS (ZBW)
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EconStor
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1
Large dynamic covariance matrices
Engle, Robert F.
;
Ledoit, Olivier
;
Wolf, Michael
-
2017
-
Revised version
for conditional heteroskedasticity; a favored model is Dynamic Conditional Correlation (DCC), derived from the ARCH/
GARCH
…
Persistent link: https://www.econbiz.de/10011640555
Saved in:
2
Efficient sorting : a more powerful test for cross-sectional anomalies
Ledoit, Olivier
;
Wolf, Michael
;
Zhao, Zhao
- In:
Journal of financial econometrics
17
(
2019
)
4
,
pp. 645-686
Persistent link: https://www.econbiz.de/10012152240
Saved in:
3
Large dynamic covariance matrices
Engle, Robert F.
;
Ledoit, Olivier
;
Wolf, Michael
-
2016
for conditional heteroskedasticity; a favored model is Dynamic Conditional Correlation (DCC), derived from the ARCH/
GARCH
…
Persistent link: https://www.econbiz.de/10011518597
Saved in:
4
Beyond sorting : a more powerful test for cross-sectional anomalies
Ledoit, Olivier
;
Wolf, Michael
;
Zhao, Zhao
-
2016
Many researchers seek factors that predict the cross-section of stock returns. The standard methodology sorts stocks according to their factor scores into quantiles and forms a corresponding long-short portfolio. Such a course of action ignores any information on the covariance matrix of stock...
Persistent link: https://www.econbiz.de/10011571257
Saved in:
5
Comovement, liquidity and asymmetries
Xiong, James X.
- In:
Journal of investment management : JOIM
19
(
2021
)
1
,
pp. 90-108
Persistent link: https://www.econbiz.de/10012814373
Saved in:
6
Asymmetric tail dependence in cryptocurrency markets : a Model-free approach
Ahn, Yongkil
- In:
Finance research letters
47
(
2022
)
2
,
pp. 1-5
Persistent link: https://www.econbiz.de/10013553804
Saved in:
7
Modeling Dynamic Volatilities and Correlations under Skewness and Fat Tails
Zhang, Xin
;
Creal, Drew
;
Koopman, Siem Jan
;
Lucas, Andre
-
2011
We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...
Persistent link: https://www.econbiz.de/10010326055
Saved in:
8
A non-elliptical orthogonal
GARCH
model for portfolio selection under transaction costs
Paolella, Marc S.
;
Polak, Pawel
;
Walker, Patrick S.
-
2019
order to avoid excessive rebalancing. To achieve this, a new robust orthogonal
GARCH
model for a multivariate set of non … endowed with a univariate
GARCH
structure, while the remaining eigenvalues are kept constant over time. Joint maximum …
Persistent link: https://www.econbiz.de/10012134234
Saved in:
9
Financial crisis, Value-at-Risk forecasts and the puzzle of dependency modeling
Berger, Theo
;
Missong, Martin
- In:
International review of financial analysis
33
(
2014
),
pp. 33-38
Persistent link: https://www.econbiz.de/10010520086
Saved in:
10
Factor models for portfolio selection in large dimensions : the good, the better and the ugly
De Nard, Gianluca
;
Ledoit, Olivier
;
Wolf, Michael
-
2018
-
This version: December 2018
This paper injects factor structure into the estimation of time-varying, large-dimensional covariance matrices of stock returns. Existing factor models struggle to model the covariance matrix of residuals in the presence of time-varying conditional heteroskedasticity in large universes....
Persistent link: https://www.econbiz.de/10011868115
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